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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 2960
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    proper names, especially those ending with "-aun"

    oai_token-act-pair · gpt-3.5-turbo

    the end of documents or text sections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    NRS
    -0.75
     Shutterstock
    -0.68
     MPG
    -0.67
    IDA
    -0.63
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.61
    Article
    -0.61
     srfAttach
    -0.59
    Domin
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     Friendly
    -0.58
    ONS
    -0.57
    POSITIVE LOGITS
    emouth
    1.08
    eers
    1.06
    tesy
    1.03
    eer
    0.93
    oir
    0.93
    cy
    0.92
    ching
    0.92
    cies
    0.89
    thouse
    0.89
    tenance
    0.88
    Activations Density 0.065%

    No Known Activations